AIONA Lab
Artificial Intelligence for Optimization, Nutrition and Applied Health Laboratory
Welcome to the AIONA Lab at the Chair of Mobile and Distributed Systems
- At AIONA Lab, we develop data-driven methods that support nutrition and applied healthcare, making them applicable to real-world processes. We combine machine learning, applied health, nutritional science, and health data with a clear focus on practical impact.
- Our research includes meal recognition using machine learning, interpretable pattern analysis of nutrition and health data, mapping meals to nutritional values, and creating high-quality datasets. Additionally, we work on medical decision support, patient-centered education and prevention, and approaches to promote adherence and self-reflection.
- Through close collaboration with clinics and healthcare facilities, we bridge the gap between fundamental methodological research and the development of practical solutions, ranging from theoretical concepts to everyday applications and process optimization.
Our Research
NutriCube
How are nutrition, vital signs, and symptoms connected? Achieve better health with personalized insights and recommendations.
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Studyflow – Digital Research Platform
How can digital studies in the healthcare sector be conducted smoothly? With a GDPR-compliant study platform for mobile apps and health data.
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Computer Vision – From Image to Nutrition
How do you go from a photo of a meal to a corresponding list of ingredients and weight measurements?
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Pharmacokinetics
How are active ingredients absorbed, distributed, and metabolized in the body? AI models these relationships.
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Digital Hospital
How can processes be optimized? We develop solutions that make patients feel safer and reduce staff workload.
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Open Nutrition Dataset
How can the nutrient content of recipes and ingredients be determined? We develop a dataset for medicine and nutrition counseling.
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